Remaining useful life assessment for lithium-ion batteries using CNN-LSTM-DNN hybrid method B Zraibi, C Okar, H Chaoui, M Mansouri IEEE Transactions on Vehicular Technology 70 (5), 4252-4261, 2021 | 198 | 2021 |
Comparing deep learning methods to predict the remaining useful life of lithium-ion batteries B Zraibi, M Mansouri, SE Loukili Materials Today: Proceedings 62, 6298-6304, 2022 | 14 | 2022 |
Comparing single and hybrid methods of deep learning for remaining useful life prediction of lithium-ion batteries B Zraibi, M Mansouri, C Okar E3S Web of Conferences 297, 01043, 2021 | 8 | 2021 |
Reducing the training time of deep learning models using synchronous SGD and large batch size SE Loukili, A Ezzati, SB Alla, B Zraibi 2022 International Conference on Intelligent Systems and Computer Vision …, 2022 | 3 | 2022 |
Improving lithium-ion battery reliability through neural network remaining useful life prediction BZ Mohamed Mansouri IAES International Journal of Artificial Intelligence 14 (1), 83-91, 2025 | | 2025 |
Advancing Lithium-ion Battery Prognostics: A Novel Deep Learning Framework for Enhanced SOH and RUL Prediction Accuracy B Zraibi, M Mansouri, MM El Aoud 2024 International Conference on Ubiquitous Networking (UNet) 10, 1-8, 2024 | | 2024 |
Enhancing Productivity: Design and Implementation of an Automated Elevator for the Rohs Wave Machine B ZRAIBI, M MANSOURI International Journal of Computing and Digital Systems 16 (1), 1-12, 2024 | | 2024 |
Capacity Prediction for Lithium-Ion Batteries Using Different Neural Networks Methods SE Loukili, A Ezzati, S Ben Alla, B Zraibi The International Conference on Intelligent System and Smart Technologies, 43-52, 2023 | | 2023 |
Hybrid Neural Network Method for Predicting the SOH and RUL of Lithium-Ion Batteries ZRAIBI Brahim, Mohamed Mansouri, Salah-Eddine Loukili, Said Ben Alla, Advances in Science, Technology and Engineering Systems Journal (ASTES …, 2022 | | 2022 |